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Senior Data Scientist

🔥 5 minutes ago

🇺🇸 United States – Remote

đź’µ $148.6k - $237.4k / year

⏰ Full Time

đźź  Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Logo of Zillow

Zillow

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

đź’° $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

đź“‹ Description

• Serve as the analytics owner for broker data products and go-to-market • Scope and deliver end-to-end measurement and data science projects from problem framing through productionization • Design broker-level success metrics and causal inference frameworks, including matching and difference-in-differences • Partner with Product Managers and go-to-market teams on measurement roadmaps and data product development • Conduct analytical deep dives and opportunity sizing for product and go-to-market roadmaps • Provide data-driven recommendations to senior leadership • Build scalable analytical pipelines, scheduled jobs, and reusable data products • Leverage AI-assisted analytics workflows while maintaining deterministic, verifiable analytical logic • Support externally facing product value narratives with rigorous methodology • Own broker measurement and data product analytics end to end as an individual contributor

🎯 Requirements

• 5+ years of experience in data science, product analytics, or a related quantitative field • Strong foundation in statistics, causal inference, and experimentation (A/B testing) • Ability to design durable metrics and assess product or go-to-market impact • Experience partnering with Product Managers, engineers, and go-to-market teams • Strong SQL and Python skills • Experience working with large datasets in modern data platforms such as Spark and Databricks • Effective use of AI tools in analytical work while maintaining rigor • Senior-level product analytics experience, including measurement, experimentation, clickstream analysis, and segment analysis • Experience building reliable, scalable analytical pipelines and scheduled data jobs, or contributing to data and analytics platform development • Ability to work independently in ambiguous spaces as an end-to-end owner • Master's degree or equivalent experience in statistics or a similar quantitative discipline is preferred • Data visualization experience such as Tableau is preferred but not required

🏖️ Benefits

• Equity awards based on factors such as experience, performance and location • Remote work from a physical location of choice within eligible U.S. locations • Opportunities for cross-domain learning and influence • Opportunities to grow scope and influence senior leaders • Inclusive, innovative environment • Reasonable accommodation for disabilities or special needs

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